Large-scale data analysis

What is Large Scale Data Analysis?
Large-scale data analysis is the process of applying data analysis techniques to a large amount of data, typically in big data repositories. It uses specialized algorithms, systems and processes to review, analyze and present information in a form that is more meaningful to organizations or end users.

Big data analysis is a broad term that encompasses a number of different tools and systems for processing large amounts of data. As a rule, data analysis is carried out on a large scale using two common techniques: parallel database management systems (DBMS) or systems operated with MapReduce. The parallel DBMS system requires that the data be in a DBMS supported schema, while the MapReduce option supports data in any form. In addition, the data extracted or analyzed in a large-scale data analysis can be displayed in various different forms such as tables, graphs, figures and statistical analyzes depending on the analysis system.

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